SamsungLabs / ASAM
Implementation of ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks, ICML 2021.
☆141Updated 3 years ago
Alternatives and similar repositories for ASAM:
Users that are interested in ASAM are comparing it to the libraries listed below
- PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)☆143Updated 2 years ago
- Whitening for Self-Supervised Representation Learning | Official repository☆129Updated 2 years ago
- Unofficial implementation of MLP-Mixer: An all-MLP Architecture for Vision☆217Updated 3 years ago
- Recent Advances in MLP-based Models (MLP is all you need!)☆114Updated 2 years ago
- Implementation of Visual Transformer for Small-size Datasets☆119Updated 3 years ago
- ☆57Updated 2 years ago
- [BMVC 2022] Official repository for "How to Train Vision Transformer on Small-scale Datasets?"☆149Updated last year
- Code for paper "Orthogonal Convolutional Neural Networks".☆116Updated 3 years ago
- PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results☆202Updated 10 months ago
- (ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Rob…☆78Updated 2 years ago
- Official Implementation of SWAD (NeurIPS 2021)☆159Updated 2 years ago
- Train ImageNet *fast* in 500 lines of code with FFCV☆140Updated 10 months ago
- Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)☆160Updated 3 years ago
- [ICLR 2022] "Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice" by Peihao Wang, Wen…☆80Updated last year
- ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning☆77Updated last year
- Pytorch implementation of the paper Exploring Simple Siamese Representation Learning.☆73Updated 4 years ago
- TF/Keras code for DiffStride, a pooling layer with learnable strides.☆125Updated 3 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆119Updated 3 years ago
- This repo is for our paper: Normalization Techniques in Training DNNs: Methodology, Analysis and Application☆84Updated 3 years ago
- ☆35Updated 2 years ago
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆74Updated 4 years ago
- ☆108Updated 2 years ago
- The official repo for CVPR2023 highlight paper "Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization".☆82Updated last year
- [NeurIPS 2021] Official codes for "Efficient Training of Visual Transformers with Small Datasets".☆141Updated 2 months ago
- Reproduce CKA: Similarity of Neural Network Representations Revisited☆298Updated 4 years ago
- A PyTorch implementation of Sharpness-Aware Minimization for Efficiently Improving Generalization☆136Updated 4 years ago
- (Pytorch) Training ResNets on ImageNet-100 data☆56Updated 3 years ago
- [NeurIPS 2021]: Are Transformers More Robust Than CNNs? (Pytorch implementation & checkpoints)☆177Updated 3 years ago
- Compare neural networks by their feature similarity☆354Updated last year
- Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"☆181Updated 8 months ago